In the google App Engine docs for Node.js it only recommends redis, for other languages it has native memcache. Is there a better caching system than making exterior calls to redis?
So far native memcache is only available to standard environment apps. But it's true, native memcache future availability on flex env was announced at least for python and java. From Memcache:
The Memcache service is currently not available for the App Engine
flexible environment. An alpha version of the memcache service will be
available shortly. If you would like to be notified when the service
is available, fill out this early access form.
Please note that the Redis service comes in 2 flavours:
redis
memcached
Both of these services can be provided right from inside google datacenters, in which case they don't exactly make outside calls. From Setting up (on either service):
... Be sure to specify GCE/us-central1 as the Cloud for the lowest latency
This means they shouldn't differ too much in performance compared to the native memcache, which is also offered on some (other) servers in the google datacenters. Well, at least for GAE apps hosted in us-central1.
Note: this is all based on docs, I didn't yet use the flex environment.
Like #Dan says Memcache is not available (yet) for Node.js
If you need to cache Datastore entities, there is a library (nsql-cache-datastore) that has a memory cache and can connect to a Redis db. Its "memory" cache store is only useful if you have one App engine instance.
Related
After reading available answers/comments on similar questions on this forum, it is now evident that GAE app is not straight-forward ready to be deployed on Compute engine. I fully understand that what all the managed services(mostly as APIs be it, datastore, document/index Search, memcache, cloud storage, task queues, cron jobs etc.), App Engine offered being a platform, won't be the same-fashioned accessible/integration-ready if available on Compute engine at all.
We have a 5 years old fully-grown App engine app now.
I am considering a scenario to support high-level of customization/control and adding third party softwares/middlewares to our server environment which is not possible with App engine. So if we have all solutions(Compute Engines, Container Engines etc.) other than App engine, to migrate our application to meet such requirements, what is the cost of such migration?
Need of server provisioning and configuration at Compute engines with different pricing model[Understood, should not be a problem :)]
Full or partial code rewrite to continue using the same APIs esp. Datastore, Cloud Storage, Task Queues, Cron jobs, Document Search, Memcache etc.[Need confirmation here and any reference/link to migration guide would be help!!]
Does this lead to risk of losing any managed service/API offered from App Engine? Document Search, Memcache, Task Queues, Cron jobs seem the possible candidates. Please confirm.
As per my reading, Big Query, Cloud storage, Pub-Sub APIs integration should not be much affected with such migration(Client-libraries or Rest APIs should still help!). Please confirm.
In nut-shell, We wanted it fully managed in the beginning so PaaS seemed the right choice 5 years ago. Now we want App minus platform-managed plus customized/flexible to our choice. How complicated this transition is going to be?
Full or partial code rewrite to continue using the same APIs esp. Datastore, Cloud Storage, Task Queues, Cron jobs, Document Search, Memcache etc.[Need confirmation here and any reference/link to migration guide would be help!!]
Unfortunately, some of those service only be provided on GAE, such as Document Search. But most of service can be use directly for GCP, such as Datastore, Cloud Storage. GAE Flexible Environment is much like GCP environment, so you can read this article first Migration to GAE Flexible Environment
In following articles also have some answer：
How to migrate Google App Engine Project to Compute Engine completely
Google App Engine Blobstore to Google Cloud Storage Migration Tool
Does this lead to risk of losing any managed service/API offered from App Engine? Document Search, Memcache, Task Queues, Cron jobs seem the possible candidates. Please confirm.
Yes, Document Search only available on GAE.
As per my reading, Big Query, Cloud storage, Pub-Sub APIs integration should not be much affected with such migration(Client-libraries or Rest APIs should still help!). Please confirm.
Yes, but you may need to change SDK or library. It dependency on your language and how to call those service by Rest API directly or SDK.
Im creating a Node.js website that probably won't have loads of traffic, and was looking into cheap solutions to host the site. Came across Google cloud services offering free usage for their services with limits. A f1-mirco is more than enough for my needs, but I will happily pay for some usage if it goes over by any chance.
I wanted to setup a linux centOS 7 on GCE (which I already did), and run my application and REST API on it. Now here comes the problem.
I tried to use Google's datastore service, but it sprung an app engine instance and without it datastore won't work.
Is datastore entirely relying on app engine to function?? In the docs, it said if you use any of the client API, it requires app engine. What can I do to not use the client api and query data then? Don't want to use the app engine at the moment or datastore is just not for me then?
Thanks for any help!
Some of the underlying infrastructure of Cloud Datastore and App Engine are still tied together for creation, etc. So while creating an Cloud Datastore database also defines an App Engine instance for the project, it doesn't require you to use it. You don't get charged for App Engine either, unless you decide to deploy an App using it.
You should be totally fine use the Google Cloud Node client library on the f1 micro instance.
What is better to code with php in google app engine or in amazon-ec2.
I think it is better in amazon-ec2 because they support datastore with php and google app engine doesn't, what do you think ?
While its not possible to access the appengine datastore, google has a new preview service for "cloud datastore", google "cloud datastore from php" and you will see how to use it.
You really cant compare AWS with appengine as one requires managing servers and scalability manually and their noSQL solution (dynamoDB) is a joke compared to google's datastore, for example in dynamoDB you must provision your writes beforehand and even if you are all day changing provisioning, it takes sometimes hours to propagate the new setting.
I had never use Google App Engine, but several times AWS systems, and sure, as AWS EC2 could be used as Linux Server Instance, I recommend you that provider. And coz' it seems that you use PHP, they have strong API for this langage. Have fun with AWS.
We are currently running a combined AppEngine / GCE app and thus far have kept all of our datastore access on the AppEngine side of things. Now we are exploring also allowing our GCE instance to make some queries into the (shared) datastore. To start, I'm trying to figure out how to run things locally. What we have so far:
A Go devappserver running
A Go standalone binary that wants to issues queries to the devappserver datastore.
We installed ('go get') google-api-go-client/datastore/v1beta2 so that we can use an API instead of issuing direct HTTP calls. However we are definitely willing to issue direct HTTP calls if this API library won't work in development.
We have service accounts set up (we already access GCS from GCE) but I doubt that's relevant for running locally...
I've seen some docs but they (a) only talk about Python & Java, and (b) discuss connecting to the (standalone) development datastore server, as opposed to the datastore embedded in AppEngine's devappserver (if those are even different?). There is also the following answer here on StackOverflow, but again it discusses connecting to the standalone development datastore server:
How to connect to the local google cloud Datastore db?
Any pointers would be much appreciated!
Ian
Currently this is not possible in the development environment for several reasons. The Google Cloud Datastore tool (gcd.sh) uses the java development server. However when developing go for App Engine you use the python development server, which has different underlying storage. There is a bug to track this issue on the github page.
You can still develop a Google Cloud Datastore application in go however there are many bugs in the current go client library. Unfortunately, the development server does not currently support the JSON API, which the go library uses (see the note at the top of the page).
Update: I wanted to make sure proppy's comment was seen as part of the answer. His suggestion does provide a way to use the protocol version of the API, which is probably more stable than the go client library above. It could also let you use the gcd.sh tool to test this in the development server. You will have to craft the HTTP requests yourself though, and you won't be able to share the data in the datastore between your application and the Cloud Datastore in development. However it is definitely a good workaround and lets you use the Cloud Datastore API, which as it develops will be easier to work with than other workarounds.
From proppy:
Note that you can still use Cloud Datastore Protobuf HTTP API with Go. The protobuf definition is available on GitHub, you can compile it to Go code using the Go protobuf compiler plugin and then send POST HTTP requests to /datastore/{version}/datasets/{datasetId}/{method}.
If the use case from your "GO" app server is straight forward enough, you may want to implement access by using an API call to your GAE service (perhaps extending the service to receive the API calls).
This has the added benefit of only having to make changes in one place if your datastore definitions or functions change.
Is there anyway we can use Google App Engine but do not use google's bigtable?
Like for storing my data, I would prefer to use cassandra and have the ability to plug and unplug additional database servers.
And say if I would like to use CouchDb/MongoDb instead is it supported in the GAE's infrastructure?
Short answer: No.
Longer answer: It depends how you want/need to use the database systems. There is no way you could run those system directly on AppEngine. But if low-latency was not a prerequisite (as would be the case with infrequent/periodical fetches of data) then you could set them up on another host with some kind of HTTP API, and query your services from appengine using urlfetch.
Just my two cents:
I dont think you can do what you want on Google App Engine directly. If you really need other databases, then Amazon's EC2 may e what you are looking for.
Also, Take a look at this: Using Quercus® to Run the WordPress PHP blog on Google App Engine
Yes, you can use Cassandra database on Google App Engine but in its flexible environment. But, as of now, flexible environment is in Beta version and is not recommended for production use.